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Cyber security for banks

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Cyber security for banks
Cyber security for banks
Cyber security for banks
Cyber security for banks

PROBLEM STATEMENT

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Sources of cyber attacks

  • Internet
    Internet
  • Message
    Corporate mail
  • cable
    USB devices
  • telephone
    Mobile devices
According to IBM and the Ponemon Institute, the average cost of a data breach in the financial sector above

$ 5 000 000

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The financial sector is the most popular target
of cyber attacks with an average loss above

$ 18 000 000

Threats

  • Customer base loss
    Customer
    base loss
  • Message
    Bank website
    spoofing
  • cable
    Financial
    asset theft
  • telephone
    Intellectual
    Property leakage

RISK OVERVIEW

  • Risk's type Payment and billing systems
  • Risk's type National Treasuries
  • Risk's type Crypto trading platforms
  • Risk's type Reserve Banks
  • Risk's type Commercial banks

Potential Damage

  • Extortion of funds
    on a large scale
  • Theft of customer
    and employee data
  • Theft of finances and
    loss of reputation
  • Loss of clients
    and partners
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Our Solution

FV-SANDBOX, a comprehensive tool for protection of bank services, employees and business processes developed to protect banks from cyberattacks

How it works

  1. Protection against phishing and spam, which are the most popular attack vectors
  2. Control of files downloaded by employees from the Internet
  3. Monitoring of USB devices connected
    to workplaces
  4. Security scanning of business emails
  5. Safeguarding of remote access

Purpose

  • Mitigation of operational and credit risks
  • Protection of personal data of employees and private information of clients
  • Countering financial fraud
  • Enhanced training for IT
    security specialists

scheme of work

scheme of work

Features

feature
Own database of signatures
feature
Bot system for collecting IoC
feature
Integration with deception platform
feature
High speed up to 250,000 files per hour
feature
Two systems in one antivirus
multiscanner and sandbox
feature
Machine learning models with
the possibility of retraining

Spam checking

antispam
A large number of machine
learning models based on new
transformer algorithms
antispam
The possibility of automatic
and manual additional training
of models on user data
is provided
antispam
Multilingual with support
for more than 15 languages —
Arabic, Chinese, English,
Spanish, etc.
antispam
Protection of models
from poisoning based
on the control dataset

Machine learning

Using machine learning models for various
file types with the possibility of automatic retraining
Spam
MS Office
Phishing
DLL
PDF
APK
EXE
ELF
Extreme Gradient Boost

Extreme Gradient Boost

VGG, NasNet, EfficientNet

VGG, NasNet, EfficientNet

Catboost

Catboost

Light Gradient Boosting

Light Gradient Boosting

Star
RandomForest Classifier

RandomForest Classifier